Thanks Ketchup, but sorry, I can’t really do that. I think that I didn’t explain my request clearly in the original post.

Let me start (restart) by trying to explaining more about the project that I am trying to do.

My project is called - A Statistical Analysis of Password Composition – I decided to do this because I am slightly in awe of good statistics. They can be fascinating. One particularly interesting statistic is called Benford's Law

http://www.intuitor.com/statistics/Benford%27s%20Law.html. According to Benford’s Law, natural occurring numbers statistically begin with the lower order digits; 30% start with "1", 18% with "2" etc down to only 4.6% starting with 9. Rather than all the digits, 1-9, having an equal 11% chance of starting with these numbers. This seems counter-intuitive. This law has been used by tax authorities to easily discover dodgy accounts because if people are using made up numbers they tend to use as many numbers starting with a 9 as numbers starting with a one.

I decided to do an analysis of passwords to see if I could find any interesting statistical trends. To do this I got lists of cracked passwords from cracking sites such as milw0rm and gdataonline. I then had to manipulate the data a bit, for example, to filter out duplicate requests from the same person.

I now have some possible trends that I need to test to confirm that that they are correct. To do this I can’t use any of the data that I already have and I can’t make up the data. It might be OK for companies trying to sell fish oil pills to do this but I want to get good true results. For example, say I was trying to work out the odds of the result of a coin toss and I flipped a coin 6 times and I got six heads (it is possible). I could deduce that flipping a coin will always results in heads. Now if I want to test this theory, I need new data, if I use my existing data (the previous six heads results) I will confirm that it always results in heads...

So, what I was hoping to get from you guys was actual hashes that you encountered through your work as ethical hackers etc.

Thanks,

Ants